Book Image

Learn Power Query

By : Linda Foulkes, Warren Sparrow
Book Image

Learn Power Query

By: Linda Foulkes, Warren Sparrow

Overview of this book

<p>Power Query is a data connection technology that allows you to connect, combine, and refine data from multiple sources to meet your business analysis requirements. With this Power Query book, you’ll be empowered to work with a variety of data sources to create interactive reports and dashboards using Excel and Power BI. </p><p>You’ll start by learning how to access Power Query across different versions of Excel and install the Power BI engine. After you've explored Power Pivot, you’ll see why Excel users find it challenging to clean data in Power Pivot and learn how Power Query can help to tackle the problem. The book will show you how to transform data using the Query Editor and write functions in Power Query. A dedicated section will focus on functions such as IF, Index, and Modulo, and creating parameters to alter query paths in a table. You’ll also work with dashboards, get to grips with multi-dimensional reporting, and create automated reports. As you advance, you'll cover the M formula language in Power Query, delve into the basic M syntax, and write the M query language with the help of examples such as loading all library functions offline in Excel and Power BI. Finally, the book will demonstrate the difference between M and DAX and show how results are produced in M. </p><p>By the end of this book, you’ll be ready to create impressive dashboards and multi-dimensional reports in Power Query and turn data into valuable insights.</p>
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Overview of Power Pivot and Power Query
6
Section 2: Power Query Data Transformations
11
Section 3: Learning M

Data type conversions

In the previous section, we tried to concatenate a text and number data type together, which produced an error message. The same thing happens when we try to add a date or a few other things as well. In this section, we will look at the different ways in which we can join various data types.

To join two different data types, we can use the Text.From function. This function allows us to input a number, date, time, or even a binary value and it will return the numerical representation of that value. For example, if we type Text.From(7), it will give an answer of 7. This, however, is not the number 7—it is text that represents the number 7. One thing to remember is that if the value is null, then Text.From will also return null. We can use the Text.From function to convert not only numbers, but also dates and times.

There are a number of different ways in which we can concatenate data using the ampersand operator (&). In Excel, the easiest way to...